The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 25, 2025
Filed:
Dec. 22, 2023
Renaissance Learning, Inc., Wisconsin Rapids, WI (US);
Robert Zieroth, Wisconsin Rapids, WI (US);
Ajay Mathew, Vancouver, WA (US);
Julianne Robar, Lac des Loups, CA;
Doris Chavez-Linville, Tampa, FL (US);
Catherine N. Close, Maidson, WI (US);
Mariel Z. Pina, Chandler, AZ (US);
Renaissance Learning, Inc., Wisconsin Rapids, WI (US);
Abstract
A multi-lingual toggle ('MLT') system with transferable skills, course mapping and tranlanguaging capabilities across educational content from different regional and global jurisdictions is disclosed. The MLT system tracks student holistic and longitudinal growth towards developing a multiliterate brain and supports literacy education in multiple languages. The MLT system includes learning progression routines developed authentically to reflect literacy acquisition in the target language. The learning progressions are empirically validated through the application of an item response theory (“IRT”) psychometric model to compute the difficulty of the skills associated with the learning progressions. There is a strong relationship between the ordering of the skills and the associated difficulties that presents an opportunity to create multilingual literacy trajectories that highlight how multilingual students achieve multiliteracy holistically, rather than in a monolingual sense. A key component is the identification and reporting of transferable skills between languages (e.g., English and Spanish) and a variant model allows learning objectives and associated data to be tracked across languages.